update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: legalbert-adept
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# legalbert-adept
+
+This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.8995
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 74   | 5.2090          |
+| No log        | 2.0   | 148  | 4.9755          |
+| No log        | 3.0   | 222  | 5.0098          |
+| No log        | 4.0   | 296  | 4.9555          |
+| No log        | 5.0   | 370  | 4.9591          |
+| No log        | 6.0   | 444  | 4.8257          |
+| 5.1245        | 7.0   | 518  | 4.8095          |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1